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Mengtian Chen – Computer Assisted Language Learning, 2024
This article discusses whether digital visual and audio feedback in learners' own voices improves their perception and production of lexical tones in Chinese as a foreign language. Forty-four beginners participated in a four-week training focused on the pronunciation of Mandarin Chinese tones at the word level. Half received digital feedback…
Descriptors: Feedback (Response), Computer Assisted Instruction, Pronunciation Instruction, Mandarin Chinese
Heejin Chang; Scott Windeatt – Computer Assisted Language Learning, 2023
This study investigates the potential of "VoiceThread" (VT) as a learning tool in order to enhance learners' performance and confidence, and to provide the basis for continuing independent practice. The participants were students from culturally and linguistically diverse backgrounds on a 10-week English for Academic Purposes (EAP)…
Descriptors: Foreign Countries, College Students, Audio Equipment, Computer Software
Yi-chen Chen – Computer Assisted Language Learning, 2024
Public speaking is considered the most anxiety-provoking speaking activity for English as a foreign language (EFL) learner. While traditional lecture-based classrooms hinder EFL learners' constant practice and frequent interaction due to large class sizes and limited time, recent developments in technology, including Artificial Intelligence (AI),…
Descriptors: Computer Assisted Instruction, Teaching Methods, Oral Language, Second Language Learning
Li, Rui; Meng, Zhaokun; Tian, Mi; Zhang, Zhiyi; Xiao, Wei – Computer Assisted Language Learning, 2021
Although digital game-based vocabulary learning (DGBVL) has attracted considerable attention, factors attributing to the facilitative effects of DGBVL have not yet been satisfactorily understood. To this end, under the theoretical framework of flow theory, this study investigates the effects of flow experiences on Chinese…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Feedback (Response)
Bolgün, M. Ali; McCaw, Tatiana – Computer Assisted Language Learning, 2019
With the ever-increasing number of available language technology products, there is also a need to evaluate them objectively. Unsubstantiated beliefs about what language technology can and cannot do inside or outside the language classroom often influence decisions about the choice of language technology to be used. The declarative/procedural…
Descriptors: Neurosciences, Second Language Learning, Second Language Instruction, Metalinguistics
Guo, Qian; Feng, Ruiling; Hua, Yuanfang – Computer Assisted Language Learning, 2022
AWCF can facilitate academic writing development, especially for novice writers of English as a foreign language (EFL). Existing AWCF studies mainly focus on teacher and learner perceptions; fewer have investigated the error-correction effect of AWCF and factors related to the effect. Especially lacking is research on how successfully students can…
Descriptors: Error Correction, Feedback (Response), English (Second Language), Second Language Learning
Cárdenas-Claros, Mónica Stella – Computer Assisted Language Learning, 2022
This paper reports the results of three independent qualitative case studies that examined interactions with feedback as L2 listeners worked in self-regulated environments. Data on high-intermediate learners of English were collected from case studies conducted in Australia, Colombia and Chile. Results show that L2 listeners across case studies…
Descriptors: Computer Assisted Instruction, Teaching Methods, English (Second Language), Second Language Learning
Xu, Yu-Jie; Chiou, Shang-Chia; You, Manlai – Computer Assisted Language Learning, 2020
This study explored interactive interface design for writing practice, feedback, and grading in Chinese character learning systems. In the experiment, 30 novice Chinese learners were invited to perform designated learning tasks on two different learning systems. Learning times and outcomes were measured. The results indicated that improvement of…
Descriptors: Second Language Learning, Second Language Instruction, Chinese, Orthographic Symbols
Xue, Sijia; Churchill, Daniel – Computer Assisted Language Learning, 2022
The educational potential of mobile and social media technologies in combination is becoming increasingly salient with the advance of modern technology. However, there is a dearth in the research on educational use of mobile social media for language learning. This study adopted a qualitative single case study approach to investigate a language…
Descriptors: Second Language Learning, Second Language Instruction, Teaching Methods, Student Centered Learning
Liakin, Denis; Cardoso, Walcir; Liakina, Natallia – Computer Assisted Language Learning, 2017
We examine the impact of the pedagogical use of mobile TTS on the L2 acquisition of French liaison, a process by which a word-final consonant is pronounced at the beginning of the following word if the latter is vowel-initial (e.g. peti/t.a/mi = > peti[ta]mi "boyfriend"). The study compares three groups of L2 French students learning…
Descriptors: French, Second Language Learning, Second Language Instruction, Control Groups
Chukharev-Hudilainen, Evgeny; Saricaoglu, Aysel – Computer Assisted Language Learning, 2016
Expressing causal relations plays a central role in academic writing. While it is important that writing instructors assess and provide feedback on learners' causal discourse, it could be a very time-consuming task. In this respect, automated writing evaluation (AWE) tools may be helpful. However, to date, there have been no AWE tools capable of…
Descriptors: Discourse Analysis, Feedback (Response), Undergraduate Students, Accuracy
Amaral, Luiz; Meurers, Detmar; Ziai, Ramon – Computer Assisted Language Learning, 2011
Intelligent language tutoring systems (ILTS) typically analyze learner input to diagnose learner language properties and provide individualized feedback. Despite a long history of ILTS research, such systems are virtually absent from real-life foreign language teaching (FLT). Taking a step toward more closely linking ILTS research to real-life…
Descriptors: Feedback (Response), Second Language Learning, Intelligent Tutoring Systems, Information Management
Fischer, Robert – Computer Assisted Language Learning, 2007
This article presents a survey of computer-based tracking in CALL and the uses to which the analysis of tracking data can be put to address questions in CALL in particular and second language acquisition (SLA) in general. Adopting both quantitative and qualitative methods, researchers have found that students often use software in unexpected ways,…
Descriptors: Computer Mediated Communication, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
Byrne, Timothy – Computer Assisted Language Learning, 2007
Many teachers today use Learning Management Systems (LMS), several of which are open-source. Specific examples are Claroline and Moodle. However, they are not specifically designed for language learning, and hence not entirely suitable. In this article, I will compare two uses of the Claroline LMS available at Louvain-la-Neuve within the framework…
Descriptors: Management Systems, Computer Software, Computer Assisted Instruction, Second Language Instruction